ZipRecruiter

Log In

1

Amazon Machine Learning Jobs in Dallas, TX (NOW HIRING)

Topgolf

Sr Data Engineer

Dallas, TX · On-site

$113.30K - $136.10K/yr

The role involves developing cloud-native data solutions, supporting analytics and machine learning ... Amazon QuickSight (Quick Suite). • Develop curated datasets and semantic layers to support self ...

JPMorganChase

WFP Senior Data Scientist

Plano, TX · On-site

Responsibilities : • Design and development of Machine Learning, Artificial Intelligence and ... Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP). • Previous experience leading ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX

$101.40K - $133.50K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · Remote

$104.90K - $138.20K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101.40K - $133.50K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Amazon

Principal ProServe Cloud Architect

Dallas, TX · On-site

The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...

Topgolf

Sr Data Engineer

Dallas, TX

$105.40K - $126.50K/yr

... machine learning, and business intelligence initiatives. This role requires deep expertise in AWS Redshift, SageMaker AI, Quick Suite (Amazon QuickSight), Apache Airflow and Python, with a strong ...

Deloitte

AI Data Engineer Senior Consultant

Dallas, TX · On-site

$113.30K - $136.10K/yr

... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management • 4+ years of experience using Amazon ...

next page

Showing results 1-20

People also search for

All JobsAmazon Machine Learning JobsAmazon Machine Learning Jobs in Dallas, TX

Amazon Machine Learning information

See Dallas, TX salary details

$25.3K

$42.3K

$87.4K

How much do amazon machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for amazon machine learning in Dallas, TX is $42,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
More about Amazon Machine Learning jobs
What are popular job titles related to Amazon Machine Learning jobs in Dallas, TX? For Amazon Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Amazon Machine Learning jobs in Dallas, TX look for? The top searched job categories for Amazon Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Amazon Machine Learning jobs? Cities near Dallas, TX with the most Amazon Machine Learning job openings:
Amazon Machine Learning jobs near you
Infographic showing various Amazon Machine Learning job openings in Dallas, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 58% In-person, 18% Hybrid, and 24% Remote job distribution, with an average salary of $42,304 per year, or $20.3 per hour.
Sr Data Engineer

Sr Data Engineer

Topgolf

Dallas, TX • On-site

$113.30K - $136.10K/yr

Full-time

Posted 21 days ago

Topgolf rating

5.6

Company rating: 5.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

39th of 47 rated entertainment

Job description

Job Summary:
Topgolf is a global sports and entertainment community, and they are seeking a Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines. The role involves developing cloud-native data solutions, supporting analytics and machine learning initiatives, and ensuring data integrity and governance across platforms.
Responsibilities:
• Design, develop, and maintain scalable data pipelines using Python and AWS-native services.
• Architect and optimize data warehouse solutions in AWS Redshift, including schema design, workload management, and performance tuning.
• Implement ELT/ETL processes to ingest, transform, and curate structured and semi-structured data.
• Ensure data integrity, quality, and security across all data platforms.
• Develop and maintain cloud-native data solutions leveraging AWS services (e.g., Redshift, S3, Glue, Lambda, SageMaker, Kinesis, RDS, IAM).
• Optimize Redshift clusters for cost efficiency and high performance.
• Implement CI/CD pipelines and infrastructure-as-code practices for data systems.
• Partner with data scientists to operationalize machine learning models using SageMaker AI.
• Build data pipelines that support model training, validation, and deployment.
• Implement feature engineering and feature store best practices.
• Monitor and optimize model performance in production environments.
• Enable and support analytics and reporting solutions using Amazon QuickSight (Quick Suite).
• Develop curated datasets and semantic layers to support self-service analytics.
• Ensure data models are structured to support performance and scalability in BI tools.
• Establish and enforce data engineering standards, coding best practices, and documentation.
• Implement monitoring, logging, and alerting for data pipelines and warehouse performance.
• Ensure compliance with security, privacy, and regulatory requirements.
• Mentor junior engineers and provide technical leadership across data initiatives.
Qualifications:
Required:
• 5+ years of experience in data engineering or related roles.
• Deep experience with one or more cloud providers: AWS (Glue, S3, Redshift), Azure (Data Lake, Databricks), or GCP.
• Advanced expertise in AWS Redshift or Snowflake (architecture, performance tuning, query optimization).
• Hands-on experience with Amazon SageMaker AI for model development and deployment.
• Advanced proficiency in Python & Airflow for data engineering.
• Deep knowledge of SQL and data modeling techniques (dimensional modeling, star/snowflake schemas).
• Experience with large-scale distributed data systems and cloud-native architectures.
• Familiarity with DevOps practices, CI/CD, and infrastructure-as-code.
Company:
Topgolf is the ultimate instigator of play. Founded in 2000, the company is headquartered in Dallas, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Topgolf employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply